flake8 fixes

asv_bench/benchmarks/pandas_vb_common.py

@@ -18,8 +18,8 @@
                   np.float64, np.int16, np.int8, np.uint16, np.uint8]
 datetime_dtypes = [np.datetime64, np.timedelta64]
 
-# This function just needs to be imported into each benchmark file in order to 
-# sets up the random seed before each function. 
+# This function just needs to be imported into each benchmark file in order to
+# sets up the random seed before each function.
 # http://asv.readthedocs.io/en/latest/writing_benchmarks.html
 def setup(*args, **kwargs):
     np.random.seed(1234)
@@ -36,7 +36,7 @@ def remove(self, f):
         try:
             os.remove(f)
         except:
-            # On Windows, attempting to remove a file that is in use 
+            # On Windows, attempting to remove a file that is in use
             # causes an exception to be raised
             pass
 

pandas/core/tools/datetimes.py

@@ -197,7 +197,8 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
 
         In case when it is not possible to return designated types (e.g. when
         any element of input is before Timestamp.min or after Timestamp.max)
-        return will have datetime.datetime type (or corresponding array/Series).
+        return will have datetime.datetime type (or corresponding
+        array/Series).
 
     Examples
     --------

pandas/tests/io/parser/parse_dates.py

@@ -217,8 +217,8 @@ def test_nat_parse(self):
             tm.assert_series_equal(expected, result.dtypes)
 
             # test with NaT for the nan_rep
-            # we don't have a method to specify the Datetime na_rep (it defaults
-            # to '')
+            # we don't have a method to specify the Datetime na_rep
+            # (it defaults to '')
             df.to_csv(path)
             result = self.read_csv(path, index_col=0, parse_dates=['B'])
             tm.assert_frame_equal(result, df)

pandas/tests/io/test_excel.py

@@ -861,8 +861,8 @@ def test_excel_multindex_roundtrip(self):
                             if (c_idx_levels == 1 and c_idx_names):
                                 continue
 
-                            # empty name case current read in as unnamed levels,
-                            # not Nones
+                            # empty name case current read in as unnamed
+                            # levels, not Nones
                             check_names = True
                             if not r_idx_names and r_idx_levels > 1:
                                 check_names = False

pandas/tests/test_base.py

@@ -116,7 +116,8 @@ def setup_method(self, method):
 
     def test_invalida_delgation(self):
         # these show that in order for the delegation to work
-        # the _delegate_* methods need to be overridden to not raise a TypeError
+        # the _delegate_* methods need to be overridden to not raise
+        # a TypeError
 
         self.Delegate._add_delegate_accessors(
             delegate=self.Delegator,